Overcoming the curse of dimensionality for some Hamilton--Jacobi partial differential equations via neural network architectures

Jerome Darbon, Gabriel P. Langlois, Tingwei Meng

We propose new and original mathematical connections between Hamilton-Jacobi (HJ) partial differential equations (PDEs) with initial data and neural network architectures. Specific…